JMP Data-Analysis Problem Solving
The deep learning engineering course focuses on combination of advanced industry-leading Six Sigma tools and JMP statistical data analysis including Statistical Process Control, Measurement System Analysis, Designs of Experiment, Regression Modelling and Multi-Variable Data Testings for technical operations problem solving. These advanced statistical techniques enable participants to maximize results effectively and efficiently through defining and executing continuous improvement. Participants will learn how to utilize these statistical tools, techniques, and methodologies required to achieve optimum product quality improvement and manufacturing capabilities.
This training course is carefully integrated by rigorous Six Sigma tools and methods to form an effective and practical approach to solve complex technical problems. Throughout this training, participants will be exposed to a variety of key, practical problem-solving tools and techniques, relevant real-world tool applications and industrial examples, hands-on JMP software exercises from basic to advanced functions, and tutorials to ensure rapid learning and knowledge retention.
What Participants Will Learn
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